דרושים Senior Business Intel Engineer ב-אמזון ב-Thailand, Bangkok, Bangkok

AGS-AIT is looking for a Senior Data Scientist to lead and drive Gen-AI and Science initiatives.Key job responsibilities
• Collaborate with BIE,DE, PM, CSM to research, design, develop, and evaluate generative AI solutions to address Global Selling challenges.
• Interact with stakeholders directly to understand their business problems, aid them in implementation of generative AI solutions, brief stkaholders and guide them on adoption patterns and paths to production
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder

- 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 6+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience with statistical models e.g. multinomial logistic regression
- 5+ years of hands on experience with Python to build, train, and evaluate models

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Experience working with data engineers and business intelligence engineers collaboratively

Key job responsibilities
• Design and implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, and storage, supporting both real-time and offline analytics needs.
• Develop automated data monitoring tools and interactive dashboards to enhance business teams’ insights into core metrics (e.g., user behavior, AI model performance).
• Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), and build a unified data layer.
• Establish data standardization and governance policies to ensure consistency, accuracy, and compliance.
• Provide structured data inputs for AI model training and inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows.
• Explore innovative AI-data integration use cases (e.g., embedding AI-generated insights into BI tools).
• Provide technical guidance and best practice on data architecture that meets both traditional reporting purpose and modern AI Agent requirements.

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses

In this backend role, you will be working in one of the world's largest and most complex data warehouse environments. You should be passionate about working with new AWS technology and complex datasets and proactively to drive the optimal data architecture with the fast changing business and technology. You will ensure we are effectively delivering high quality products that are scalable and meet business requirements.Key job responsibilities
Performance Optimization: Write complex and efficient SQL queries for data manipulation, transformation, and aggregation. Optimize SQL queries to improve performance and efficiency.ETL Process Management: Design, implement, and maintain ETL (Extract, Transform, Load) processes. Ensure accurate and efficient data integration from various sources into the data warehouse and the optimal model to fit downstream usage.Continuous Improvement: Stay informed of industry trends and advancements in AWS based technologies. Recommend and implement improvements to processes and technologies to enhance data warehouse functionality and efficiency.

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 5+ years of professional experience in data warehouse including ETL and optimization for large(multi-TB+) data sets
- Master in SQL and Experience in scripting for automation (e.g. Python)
- Proven problem solving skills, attention to detail, and exceptional organizational skills.

Key job responsibilities
Solution Design - Define and deliver on-site technical engagements with partners and customers. Activities include participating in pre-sales, understanding customers’ security, risk, and compliance requirements, and providing advice and deliverables based on AWS services.This is an ASEAN customer facing role. You will be required to travel to client locations to deliver professional services when needed.A day in the life
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 10 years' experience in IT security, compliance, or risk management.- BA/BS degree or equivalent experience.- Hands-on technical expertise in technology automation, implementation, integration, and/or deployment.

- Hands-on technical expertise in building and deploying security solutions, capabilities and infrastructure, with strong scripting skills, i.e., PowerShell, Python, Node.js, JavaScript, Bash, Ruby, Perl, etc.- Technical expertise (design and/or implementation) in Cloud Computing technologies and implementation experience with enterprise security solutions such as SSO, Federation, WAF, IPS, Anti-DDOS, and SIEM.- Experience with Infrastructure-as-Code Tools such as CloudFormation, Terraform, Chef, Puppet, Salt, or Ansible in production environments at scale.- Understanding architectural implications of meeting industry standards such as PCI DSS, ISO 27001, GDPR, and NIST frameworks and relevant regulatory frameworks such as Thailand's Personal Data Protection Act B.E. 2562 (2019), BOT Notifications SorNorSor 21/2562, 6/2561, 11/2561, etc.- Language proficiency: English, Thai (Thailand).

Key job responsibilities
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5+ year of experience with direct customer (internal or external) interaction with responsibilities in ML solutions design, architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ year of experience in the industry as a ML practitioner
- Ability to think strategically about business, solutions and technical challenges.
- A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.

The ideal candidate will look like this…Be great fun to work with. Our company credo is “Work hard. Have fun. Make history”. As the right candidate, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge.Have a strong understanding of large scale cloud computing solutions. The ideal candidate will have past experience working as a security systems engineer or security architect. You will enjoy keeping your existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around securing systems and applications in the cloud. You regularly take part in deep-dive education and design exercises along with technical deep dive drive technical discussions to create world class security solutions for AWS.Sales, Marketing and Global Services (SMGS)
Key job responsibilities
Security Compliance experience – must have strong experience and understanding of customer security/compliance requirements.
Speaking and presentation skills – Presentations, white boarding, large and small group speaking.
Technical – broad and deep knowledge of fundamental security principles and technologies, Security services development/deployment experience, and IT systems and network engineering experience.
Operational Security – should have experience in operationalizing both infrastructure and application security controlsExperience in engaging enterprise class environment and complex architecture designs.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- The right person will be highly technical and analytical, possess 10+ years of current solutions architecture (implementation/consulting) experience.
- Deep knowledge of Infrastructure Security, Security Compliance and Operations is a must.
- Experience architecting infrastructure solutions using both Linux/Unix and Windows with specific recommendations on server, load balancing, HA/DR, & storage architectures.
- Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers. AWS specific experience a bonus.
- Strong verbal and written communications skills in both Thai and English are a must

- Experience working within the Enterprise software market or Internet industries is highly desired.
- Enterprise application and database architecture a bonus.
- Technical degree required; Computer Science or Math background highly desired.
- Working knowledge of software development practices and Internet-related technologies highly desired.
- Industry Security certifications highly desired.

As an Applied Scientist, you will design, implement and deliver models on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production system that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.Key job responsibilities
* Invent or adapt new scientific approaches, models or algorithms inspired and driven by customers’ needs and benefits at the project level.* Analyze data and identify the gaps in existing solutions, and propose innovative science solutions.* Contribute to research papers that are published at peer-reviewed internal and/or external venues, and
* Working with teams worldwide on global projects.
* Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goals

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning